corrected significance

USAGE SUMMARY

The phrase "corrected significance" is correct and usable in written English.
It can be used when discussing the revised or adjusted meaning or importance of something, often in academic or analytical contexts. Example: "After further analysis, we arrived at a corrected significance of the data that better reflects the underlying trends."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

42 human-written examples

Pairwise comparisons (Bonferroni corrected significance levels) were conducted after significant main effects of Group or significant interactions involving Group across time variables like Blocks of Trials.

Plosone

The association of rs1800392 became significant at 5% Bonferroni corrected significance when the meta-analysis included the JCS set (Supplement Table 2).

Aging

Significant differences were set at a corrected significance level of p < 0.05 [combined height threshold p < 0.01 (T > 2.46) and a minimum cluster size of 18 voxels].

BMC Psychiatry

Using a 1% Bonferroni corrected significance threshold, we could not find any significant SNP-trait association signal using the the same GWA model as for metabolites.

BMC Genomics

In addition, a majority of secondary outcome variables showed significant between-group differences (at the Bonferroni corrected significance level of p < 0.0026) in favour of the intervention group.

Diabetologia

The overall residual difference, ~6% for BRASS and ~15% for Southampton, is statistically significant in both cases (p < 0.001; Bonferroni corrected significance level α = 0.05/4 = 0.0125).

EJNMMI Physics

Human-verified similar examples from authoritative sources

Similar Expressions

18 human-written examples

The Bonferroni-corrected significance level was set at one-sided 1.25%.

Alzheimer's Research and Therapy

However, the finding at 9 15 months was not significant at the Bonferroni-corrected significance level of P = 0.01.

Brain

If we simply correct for the number of SNPs genotyped, seven, the Bonferroni-corrected significance threshold would be 0.007.

Carcinogenesis

The association between %MMA and haplotype 1 remained significant after adjusting for multiple comparisons (Bonferroni-corrected significance level of 0.01).

Environmental Health Perspectives

SNP rs1327328 was validated in the US Caucasian population, with an allele-based p-value of 0.003, below the 0.006 Bonferroni-corrected significance threshold.

Plosone

Expert writing Tips

Best practice

When reporting statistical results, always specify which correction method was used to determine the "corrected significance", such as Bonferroni, FDR, or FWE.

Common error

Avoid reporting raw p-values as significant when multiple comparisons have been performed without applying a correction method. This leads to inflated false positive rates and unreliable conclusions.

Linguistic Context

The phrase "corrected significance" acts as a descriptor, modifying a statistical finding. It indicates that the initial significance value has undergone an adjustment, usually to account for multiple comparisons or other sources of error. Ludwig provides numerous examples from scientific literature where this term is applied to statistical results.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

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Ludwig's WRAP-UP

The phrase "corrected significance" is a crucial term in statistical analysis, primarily used in scientific contexts to denote significance levels adjusted for factors like multiple comparisons. As Ludwig AI confirms, its grammatical status is correct, and its usage is common in scientific literature. When writing about statistical results, it is essential to specify the correction method used. Alternative phrases include "adjusted significance level" and "corrected p-value". The most common error is confusing raw significance with corrected significance, which can lead to unreliable conclusions.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

adjusted significance level

Focuses on the level of significance after adjustments, emphasizing the threshold for statistical validity.

corrected p-value

Specifically refers to the p-value after a correction method has been applied.

significance after adjustment

Highlights the fact that the significance is considered after a specific adjustment.

modified significance threshold

Emphasizes that the threshold for determining significance has been altered.

revised significance level

Implies a re-evaluation and subsequent change in the significance level.

controlled significance

Highlights that the significance is controlled by a particular method.

calibrated significance

Suggests that the significance has been fine-tuned or calibrated for accuracy.

normalized significance

Focuses on significance being normalized to fit a standard scale.

significance with multiple testing correction

Directly states that multiple testing corrections have been applied to achieve significance.

significance following Bonferroni correction

Identifies the specific statistical method used to correct for multiple comparisons.

FAQs

What does "corrected significance" mean in statistical analysis?

In statistical analysis, "corrected significance" refers to the significance level (alpha) that has been adjusted to account for multiple comparisons. This adjustment, often done using methods like Bonferroni correction or False Discovery Rate (FDR), helps to reduce the chance of falsely identifying a result as statistically significant.

When should I use "corrected significance"?

You should use "corrected significance" whenever you are performing multiple statistical tests on the same dataset. Applying a correction method ensures that the overall false positive rate is controlled, leading to more reliable and reproducible results.

What are some methods for calculating "corrected significance"?

Common methods for calculating "corrected significance" include the Bonferroni correction (which divides the alpha level by the number of tests), the "Holm-Bonferroni method", "False Discovery Rate (FDR)" control, and "Family-Wise Error Rate (FWER)" control.

How does Bonferroni correction relate to "corrected significance"?

Bonferroni correction is one specific method used to calculate "corrected significance". It adjusts the significance threshold (alpha) by dividing it by the number of independent tests performed. For example, if you perform 20 tests with a desired alpha of 0.05, the Bonferroni "corrected significance" level would be 0.05/20 = 0.0025.